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As a Generative AI Intern, you will join Wiremind's emerging GenAI team and work directly under the supervision of our Lead GenAI Engineer. You'll contribute to developing LLM-powered features (most likely in Cayzn) that help airlines and railways make better pricing and operational decisions. Our team is building LLM-based systems to analyze services (flights, trains), recommend pricing actions, and help revenue managers define automated strategies using natural language.
Job Responsibility:
Design and run experiments to test different approaches for the projects
Prompt engineering through systematic testing and refinement
Develop evaluation frameworks including 'LLM-as-judge' approaches and metrics aligned with expert preferences
Benchmark LLM models (GPT-4, Claude, etc.) to find optimal cost/performance tradeoffs for production constraints
Break down complex problems into simpler, specialized sub-tasks that LLMs can handle more reliably
Analyze failure modes and edge cases in LLM outputs
Document and share your findings with the broader engineering and product teams
Requirements:
Currently pursuing a Master's Degree in computer science or data science
Solid Python programming skills and experience working on structured projects
Experimented with LLMs (personal projects, coursework, hackathons) and eagerness to learn more
Good understanding of fundamental machine learning concepts and evaluation metrics
Curiosity about applying AI to solve real business problems in production environments
Strong analytical skills and enjoy iterative experimentation
Clear communication and ability to explain technical concepts to non-technical stakeholders
Nice to have:
Familiarity with prompt engineering best practices
Interest in revenue management, pricing, or optimization problems
What we offer:
1 day of remote work per week
A great company culture (monthly afterworks, regular meetings on technology and products, annual off-site seminars, team-building…)
Beautiful 900 m² offices in the heart of Paris (Bd Poissonnière)
A caring and stimulating team that encourages skills development through initiative and autonomy
A learning environment with opportunities for evolution
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